Senior Data Analyst

Position Overview

Under the Data & Analytics team, the Senior Data Analyst will work directly with internal business lines to understand their needs and identify how analytical solutions or data science solutions could help deliver value for them. The Senior Data Analyst will bridge the gap between Context Insensitive Analytics & Context Enriched Analytics. This position provides opportunities for insights to be uncovered in patterns of behavior and relationships with Encore's CRM & Sales data. This position will also offer a chance for high visibility across the enterprise and influence the direction of the business by effectively communicating conclusions to cross-functional groups. The Senior Data Analyst will report to the Director, IT Data & Analytics.

Key Job Responsibilities

• Define and steer implementation of processes and standards for Machine Learning tools, code, testing, and product deployment.

• Train and mentor others with respect to Data Science/AI/Machine Learning techniques and tools, mathematical and statistical understanding of Machine Learning, and industry best practices for Data Science development and solutions

• Develop and prepare new reports, dashboards, analysis, and presentations for all levels of management using multiple complex data sources.

• Apply a broad range of basic to advanced modeling techniques and theories from statistics, machine learning, heuristics, NLP, and deep learning to create actionable algorithms and predictive models that are actionable for the business.

• Work with business stakeholders to gather and develop business requirements for new dashboards & analysis which would consolidate and analyze diverse sources to generate actionable insights.

• Compile, organize, & use data to facilitate better decision management.

• Determine necessary data sets and develop/maintain SQL queries, scripts, and report packages. Develop and maintain models using Python and "R".

• Identify, analyze, and interpret trends or patterns in complex data sets using tools such as Spark SQL, PySpark, Theano, and TensorFlow.

• Translate open-ended questions from internal teams into actionable data insights, tasks, and deliverables.

• Possesses a strong adherence to established standard procedures, processes, QA, and SDLC documentation.

• Proactively works on keeping up with the latest changes in the machine learning/Big Data industry.

• Effective communication skills (both written and verbal) are required, as this position will be tasked with "telling the story" Using data driven presentations.

Job Qualifications

• Preferred but not required. Bachelor's Degree/Diploma, or the equivalent in computer science, finance, or statistics/mathematics a plus

• 5+ years of enterprise data modeling experience

• 4+ years' experience w/ using data to drive business insight & provide recommendations

• 2+ years of owning full lifecycle of Data Science projects/solutions

• 2+ years of experience within the Microsoft Business Intelligence stack or other BI tools

• 0-2 years of enterprise data engineering/ETL experience

• 0-2 years of experience with data governance

• Extensive background in data mining and statistical analysis

• Should demonstrate a deep understanding in at least one of the following - Supervised and Unsupervised, Learning, Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Linear models, Non-linear models, Multivariate Statistics

• Experience with statistical software required- R, SAS, & Python

• Proficient knowledge of advanced analysis solutions/tools (such as OLTP/OLAP data structures, advanced Excel, Tableau, Microsoft Dynamics, Power BI, Business Objects)

• Experience with SQL and statistical software packages (Python, R, SAS) required

• Application of highly complex statistical methods (such as regression analysis, correlation, causation, etc.)

• Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics

• Experience with data de-identification and synthetic data

• Requires the ability to communicate and present effectively to all levels of external and/or internal leadership

Competency Group

• Deliver World Class Service

• Hospitality

• Ownership

• Do The Right Thing

• Demonstrates Self-Awareness

• Drive Results

• Ensures Accountability

• See The Big Picture

• Decision Quality

• Manages Complexity

• Value People

• Collaborates

Work Environment Office

Work is performed in a remote office with occasional travel to onsite hotel/convention center environments. The working conditions will vary between moderately quiet to noisy volumes. Working times may include irregular hours and on-call status including days, evenings, weekends, and holidays. Team members must adhere to appearance guidelines as defined by Encore and when traveling, on an individual venue or a representation of venues in that city or area.

The above information on this description is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, management reserves the right to revise the job or to require that other or different tasks be performed as assigned.

#INDCORP

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)